What Is Embodied Language Comprehension?
Embodied language comprehension is the hypothesis that understanding language recruits, is shaped by, or partly depends on cognitive and neural systems developed for perceiving the world, controlling actions, and interacting with the body and its environment. When a reader understands “She lifted the heavy suitcase,” knowledge of lifting, weight, effort, objects, and likely bodily consequences can contribute to the interpretation. When a listener hears “The bird spread its wings,” perceptual information about wings and their changing shape may become available. The central scientific question concerns the functional role of this information: when does sensorimotor experience guide comprehension, and when is it required for meaning to be constructed? Barsalou (2008); Körner et al. (2023).
The field offers a compelling explanation for why words are connected to lived experience, while presenting a demanding test of theories about mental representation. Research establishes that language and perceptual or motor systems interact under many conditions. It remains contested whether particular motor or perceptual simulations are obligatory components of ordinary comprehension, optional resources summoned by context, or consequences of spreading activity from more general semantic representations. These are different empirical claims requiring different evidence. Meteyard et al. (2012); Mahon and Caramazza (2008).
A practical example makes the difference visible. Reading “close the drawer” may activate knowledge about a hand action, a drawer’s shape, and motion away from the reader. The meaning also specifies an agent, an intended state change, and a relation between object and action. An experimental task may encourage the reader to imagine the movement, but the ability to judge that the instruction makes sense can survive many changes in posture, hand use, or imagery. A scientific model must explain both the embodied associations and the remarkable flexibility of comprehension.
Grounding, Embodiment, Simulation, and Situated Meaning
Sensorimotor grounding
Grounding refers to the relationship between a linguistic or conceptual representation and perceptual, motor, affective, and bodily experiences through which a person acquires knowledge. The word “rough” can refer to tactile qualities learned through touch; “running” can evoke experience of movement; “sweet” can involve taste and learned associations. These experiences offer sources of information that may later be recruited when words are heard, read, signed, remembered, or imagined. Grounding concerns how a concept obtains content and connections, including learning over time; it does not prescribe one invariant neural routine for every encounter with the word. Barsalou (2008); Yee and Thompson-Schill (2016).
Embodiment and mental simulation
Embodiment is a broader family of theories linking cognition to the capacities, states, and history of a body. Mental simulation is a proposed mechanism: processing a description partially reinstates patterns associated with perceiving or performing the described event. Simulation need not be a vivid conscious image. It can be weak, selective, rapid, task-dependent, and accessible only through its measurable effect on behavior or neural activity. Equating simulation with deliberately imagining a scene would mistake one kind of experience for an entire class of possible cognitive processes. Pulvermüller (2013); Körner et al. (2023).
Situated and multimodal comprehension
Situated comprehension incorporates the immediate scene, available objects, the listener’s goals, discourse history, social conventions, and likely actions. Imagine hearing “Put it beside the cup” while several objects lie on a table: eye movements, knowledge of which items can be placed where, the speaker’s pointing, and the grammatical phrase all help narrow the intended referent. This integration is relevant to embodiment, although the contribution of an external scene is distinct from reinstating an internal sensorimotor representation. Situated meaning also supports conversation, reading, sign language, and gesture-rich communication. Körner et al. (2023).
What counts as strong embodiment?
Weak embodiment claims that sensory and motor histories influence some conceptual and linguistic operations. Moderate accounts assign sensorimotor representations important, flexible roles among several cooperating systems. Strong accounts assert that reactivating specific sensorimotor mechanisms is constitutive of, or necessary for, comprehension of relevant language. The strongest version must predict what fails when the mechanism is disrupted; merely finding a motor-area signal while a participant reads an action verb cannot settle that question. The theoretical continuum is central to the debate. Meteyard et al. (2012); Mahon and Caramazza (2008).
How Perception Can Shape Linguistic Meaning
Visual features and object shape
Object words express concepts that may include color, form, scale, and typical orientation. A sentence about an eagle flying implies wings extended, while a sentence about an eagle in its nest implies a different configuration. In classic experiments, participants recognized pictured objects faster when the depiction matched the shape implied by a preceding sentence. This finding motivated perceptual-simulation accounts, although a congruency advantage may also reflect expectations, comparison processes, or stimulus-response matching. Testing the location of an effect in the comprehension sequence is therefore essential. Zwaan, Stanfield, and Yaxley (2002).
Perceptual contributions vary by what the reader is doing. A sentence emphasizing appearance invites visual features; a sentence about using an object may prioritize manipulation; a sentence about its social significance draws on cultural and relational knowledge. The concept of a lemon is meaningful in a recipe, a still life, a taste experiment, and a discussion of acidity, but each context requires a different subset of its properties. This context sensitivity is central to contemporary grounded-semantic research. Yee and Thompson-Schill (2016).
Sensory modalities and conceptual accessibility
Some terms preferentially evoke hearing, touch, smell, taste, or vision. Researchers can ask whether prior processing in one sensory modality makes a subsequent judgment about the same modality easier than switching to another modality. Such effects are compatible with modality-linked conceptual access, but the experiment must control category association, word frequency, response demands, and expectancy. A sensory adjective does not specify that its entire meaning is encoded inside the primary sensory cortex associated with its referent. The modern question is how distributed conceptual knowledge coordinates modality-specific evidence and more general integration. Barsalou (2008); Lambon Ralph et al. (2017).
Motion, orientation, and spatial relations
Descriptions of movement can recruit spatial expectations even when nothing moves on a screen. The sentence “The ball rolled under the table” specifies a dynamic relation between two objects; understanding it can draw on knowledge of trajectories, gravity, containment, and viewpoint. Such knowledge is useful because linguistic input often leaves physical details unstated. Yet a reader may represent the same proposition sufficiently to answer a question without rehearsing a complete visual animation. Embodied theories must therefore distinguish information that a language user could infer from simulations that are demonstrably deployed during the measured comprehension event. Körner et al. (2023).
Emotion and bodily relevance
Words describing danger, comfort, disgust, or pain can interact with physiological attention and learned affective associations. Bodily experience contributes to how people acquire the concepts, while semantics, personal history, social interpretation, and context regulate which features become relevant. An automatic bodily response to an emotionally charged word is evidence of coupling between systems, not by itself proof that understanding depends on that response. Specific mechanisms of emotional appraisal, regulation, and clinical affective symptoms belong to their own scientific inquiries. Barsalou (2008); Yee and Thompson-Schill (2016).
How Action Can Shape Linguistic Meaning
Action words and learned motor experience
Verbs such as “grasp,” “kick,” and “chew” refer to actions involving distinctive effectors, goals, and objects. A person learns these meanings through observation, practice, instruction, dialogue, and memory. Sensorimotor representations can contribute information about what the action looks or feels like and what consequences it usually produces. But verbs also encode grammatical structure, intentions, aspect, argument relations, and social conventions. The expression “She grasped the argument” requires interpretation that extends far beyond hand closure. A full language model must integrate embodied knowledge with combinatorial semantics. Pulvermüller (2013); Garello et al. (2024).
Somatotopic activation during reading
An influential fMRI study reported that words associated with face, arm, or leg actions elicited differentiated responses in or near motor and premotor regions corresponding to those body parts. This somatotopic pattern indicates systematic relationships between action semantics and parts of the sensorimotor system. The result is correlational: regional activation while reading may reflect contribution to meaning, imagery, action preparation, associative spread, or a combination of processes. Functional mapping alone does not establish what would happen to comprehension if the activated region were interrupted. Hauk, Johnsrude, and Pulvermüller (2004)00838-9).
The action-sentence compatibility effect
The action-sentence compatibility effect, or ACE, compares a person’s physical response direction with a movement implied by a sentence. In the influential original demonstration, participants judged sentence plausibility by moving a response device toward or away from themselves; responses were less fluent when the required movement conflicted with the sentence’s implied direction. The interpretation proposed that understanding action language recruits motor or action-compatible representations. Importantly, the measure is a difference in response time under a special laboratory procedure, not a direct observation of mental simulation. Glenberg and Kaschak (2002).
The ACE also illustrates why embodied-language research requires stringent replication. A preregistered multi-laboratory investigation involving 18 laboratories did not find a reliable effect in its tested version of the paradigm, with a combined estimate close to zero. A subsequent meta-analysis across studies estimated a small overall effect while identifying delay as a moderator and signs of publication bias. These findings can coexist because a meta-analysis aggregates varied paradigms, whereas one multilab replication tests a defined protocol. The evidence does not justify treating ACE as a universal or inevitable signature of sentence understanding. Morey et al. (2022); Winter et al. (2022).
Additional studies have reported difficulty reproducing compatibility effects and have shown that some apparent advantages admit interpretations based on task design or response processes. Replication failures constrain a proposed benchmark effect without resolving every hypothesis about embodied meaning: action understanding could engage motor representations under some conditions even when a particular movement-compatibility measure is absent. Papesh (2015); Teskey et al. (2025).
Literal actions, metaphors, and idioms
“Open the box,” “open negotiations,” and “open a can of worms” share surface vocabulary but place different demands on semantic composition. Literal language points toward a manipulable action; a metaphor transfers some structural or experiential relations into another domain; a conventional idiom can rely strongly on learned phrase meaning. The mere presence of an action verb is therefore insufficient to predict identical simulation. Experimental studies comparing figurative and literal stimuli need to separate familiarity, conventionality, concreteness, plausibility, and task purpose. Yang and Shu (2016); Garello et al. (2024).
In a 2024 experiment, Italian speakers judged Italian and English action sentences after videos showing related or unrelated hand actions. Related visual actions facilitated some judgment conditions, with a pattern that differed between the first and second language and among literal, metaphorical, and idiomatic expressions. These results provide evidence for cross-modal facilitation under those task conditions. Because video primes were explicitly presented and decisions were made about semantic material, the result does not demonstrate that the corresponding hand simulation is indispensable in ordinary silent reading. Garello et al. (2024).
What Happens in the Brain?
Distributed semantic networks
Semantic comprehension is implemented by multiple interacting systems. Modality-linked regions contribute sensory and action-related features; more integrative temporal-lobe systems support cross-modal conceptual structure; frontotemporal and parietal networks help select and control retrieval according to the task. The controlled semantic cognition framework describes interactions between distributed representational spokes, a multimodal hub centered on anterior temporal cortex, and semantic control systems. This architecture explains how perception and action can matter while allowing meanings to generalize across circumstances, word forms, and sensory modalities. Lambon Ralph et al. (2017).
Motor and premotor activity: what it establishes
Brain imaging provides spatial maps of associations, not causal proof of necessity. Activation can appear because a region contributes a useful representation, because another network activates it, or because the participant prepares a response or spontaneously imagines an action. Comparisons with actual action observation, imagery, and execution can clarify overlaps and differences. A systematic review and meta-analyses of manual-action language reported an activation pattern resembling action observation more than imagery or execution, supporting a differentiated account rather than a one-to-one recreation of movement. Courson and Tremblay (2020).
Temporal dynamics and the problem of causal order
Evidence from EEG and MEG can ask whether sensorimotor effects arise early enough to plausibly participate in lexical-semantic integration, or emerge later as inference and imagery unfold. Early activity is informative, but early timing alone still does not establish necessity: fast associative activation can follow a lexical cue. Experimental designs must separate stimulus onset, lexical access, semantic integration, response preparation, and task-specific attention. The strongest interpretations combine timing, behavioral consequences, interference, and carefully specified alternative pathways. Meteyard et al. (2012); Körner et al. (2023).
Brain stimulation and stronger causal tests
Transcranial magnetic stimulation and transcranial direct-current stimulation seek to alter cortical processing and measure effects on language tasks. They can contribute causal evidence, but results depend on stimulation site and timing, intervention efficacy, task design, sample size, and physiological variability. A p-curve and excess-significance review of 43 stimulation studies estimated low statistical power and indications of publication bias, concluding that existing evidence did not establish the required role of motor cortex in action-language comprehension. This is a challenge to a strong causal claim rather than evidence that motor systems never interact with language. Solana and Santiago (2022).
A preregistered 2024 repetitive-TMS study disrupted primary motor cortex before participants selected more concrete or more abstract interpretations of action sentences. The investigators found evidence against an effect of this intervention on the measured interpretation choices. This narrows claims about primary motor cortex in that particular meaning-construal task, while leaving open questions about other sensorimotor regions, stimulation timings, tasks, or aspects of representation. Solana et al. (2024).
Lesions, compensatory networks, and interpretation
Studies of neurological injury may reveal functions that ordinary task activation cannot, but lesion data are complex: injuries often span interconnected systems, recovery recruits compensatory pathways, and performance depends on the specificity of the task. An impairment in recognizing or executing actions need not imply a parallel impairment in interpreting the corresponding verbs; an impairment in language may result from broader semantic-control or lexical processes. Convergent behavioral, neuroimaging, stimulation, and neuropsychological evidence is therefore preferable to any single type of measure. Clinical diagnosis and treatment of aphasia or movement disorders remain distinct questions. Mahon and Caramazza (2008); Lambon Ralph et al. (2017).
Major Theoretical Models
Perceptual symbol systems and grounded simulation
Grounded-cognition models propose that experience establishes multimodal representations which can be partially reinstated during thought. Re-enactment may support recognizing an object, predicting an event, or interpreting a sentence. The strength of this family of accounts is that it relates semantic knowledge to learning and flexible interaction with the world. Its empirical burden is to say which information should be simulated for a given utterance, how quickly that happens, how it changes with context, and what failure would be expected if the relevant system were unavailable. Barsalou (2008).
Hebbian and distributed cell-assembly accounts
Neurobiological accounts such as those developed by Pulvermüller propose that repeated coordination of word forms, actions, and perceptions builds distributed cortical assemblies. Encountering a familiar word can reactivate parts of an assembly spanning language and sensorimotor areas. This makes testable predictions about experience-dependent organization and timing, while allowing meaningful representations to extend across multiple cortical systems. How much of an assembly must be active for comprehension, and under which task conditions, remains a substantive empirical question. Pulvermüller (2013).
Hub-and-spoke and controlled semantic cognition
Hub-and-spoke theories propose that modality-specific representations are integrated through transmodal systems, with control mechanisms choosing which aspects are most useful in context. The model can explain why action knowledge is available when discussing tools, why visual features matter for recognition, and why an abstract or category-level statement is understood without a single obligatory effector-specific simulation. It is a particularly important alternative to claims that any one motor region contains the essence of a verb’s meaning. Lambon Ralph et al. (2017).
Grounding by interaction
A hybrid proposal associated with Mahon and Caramazza holds that conceptual representations and sensory-motor systems interact closely without requiring each conceptual content to be located in the sensory or motor machinery it describes. The model explains neural coactivation as an expected feature of a connected representational system. Its predictions differ from strong embodiment precisely when interfering with a sensorimotor region leaves the core semantic decision intact but changes associated imagery, feature access, or response tendencies. Mahon and Caramazza (2008).
Distributional meaning and multimodal learning
Statistical information carried by words and their contexts can encode regularities about actions, objects, and experiences. Linguistic distribution can therefore support semantic relations without reproducing each relevant physical experience during an individual comprehension event. Multimodal approaches investigate how text-derived regularities combine with images, sound, action outcomes, and social feedback. Success in predicting linguistic context shows the usefulness of that representation for the tested task; it does not establish the same sensorimotor grounding, biological learning trajectory, subjective experience, or causal architecture as human comprehension. Körner et al. (2023).
What the Experimental Methods Can and Cannot Show
Reaction times, priming, and congruency
Experiments present words, sentences, images, sounds, or actions and measure speed or accuracy. If related perceptual stimuli accelerate responses, the result establishes an interaction within that design. Investigators must still distinguish semantic activation from expectation, attention, decision strategy, physical compatibility, and practice. Counterbalancing item assignments, measuring effects across participants and materials, and preregistering predictions are especially important when the effects are small and sensitive to timing. Winter et al. (2022); Morey et al. (2022).
Eye tracking and visual-world tasks
Eye movements provide time-sensitive evidence about how language directs attention to objects in a scene. The presence of a scene is itself informative: people can use visible affordances and referential alternatives to anticipate intended actions and resolve ambiguity. Investigators must analyze the influence of display composition, familiarity, participant goals, and spoken-language timing. A look toward an object establishes that the utterance changed visual attention; additional conditions are needed to determine whether the listener mentally simulated a movement as part of understanding it. Körner et al. (2023).
fMRI, EEG, MEG, TMS, and lesion methods
These techniques address complementary questions. Functional MRI identifies where task-related signals vary; EEG and MEG provide evidence about timing; brain stimulation tests how interventions change behavior under defined conditions; lesions reveal consequences of damage within larger networks. None alone establishes that perception or movement is the sole carrier of meaning. A convincing causal interpretation predicts a selective behavioral impairment, controls nonspecific disruption, and incorporates alternative explanations before collecting the data. Meteyard et al. (2012); Solana and Santiago (2022).
The importance of preregistration and independent replication
The field’s debate offers a methodological lesson across cognitive science. A striking small-sample effect should motivate larger tests using preregistered outcomes, clearly defined materials, and independent groups. A multilab null result and a modest meta-analytic association are reasons to refine a theory’s predictions, inspect task boundaries, and estimate measurement reliability. Selective reporting, analyst flexibility, item-level variability, and publication bias must be investigated, especially where different laboratories appear to disagree. Morey et al. (2022); Winter et al. (2022).
A Critical Evaluation of the Evidence
Established: bodily experience and language interact
There is substantial behavioral and neural evidence that linguistic meaning is connected with perceptual, motor, and situated experience. Action terms can elicit effector-sensitive activity; descriptions can influence access to perceptual properties; physical context can change interpretation; and task-specific visual or motor primes can modulate judgment. These findings support interaction between systems at various levels of processing. The strength of an individual effect varies by experiment, and the broad pattern should not be converted into a universal claim about causal necessity. Hauk, Johnsrude, and Pulvermüller (2004)00838-9); Zwaan, Stanfield, and Yaxley (2002); Körner et al. (2023).
Limited: the reliability of a benchmark motor effect
The ACE became influential because its predicted congruency pattern connected sentence meaning to the reader’s own movement. Yet the large preregistered replication did not reproduce the tested effect, a quantitative review found a small association with possible publication bias, and other experiments questioned the specificity of the underlying mechanism. The appropriate conclusion is that this benchmark is a fragile and condition-sensitive indicator. It cannot bear the weight of claims about the entire architecture of language comprehension. Morey et al. (2022); Winter et al. (2022); Teskey et al. (2025).
Contested: motor cortex as a necessary component of meaning
Motor-related language reliably raises questions about causality because motor activation can accompany comprehension without producing it. Reviews of brain stimulation have identified low power and publication bias; a preregistered disruption of primary motor cortex did not alter tested meaning construal; and a registered replication found no selective motor-interference cost for retaining action verbs in working memory. A broader 2025 review of action imagery, observation, and action language nevertheless argues that convergent causal findings support some functional contributions of motor systems across action cognition. These results are best read as evidence for multiple roles that differ by task and anatomical pathway, not a settled demonstration of one compulsory motor mechanism in all comprehension. Solana and Santiago (2022); Solana et al. (2024); Montero-Melis et al. (2022); Dupont et al. (2025).
Theoretical: multiple routes may support comprehension
A plausible integration is that conceptual retrieval activates flexible, distributed networks whose relative contributions change with task, individual experience, and linguistic context. Reinstating a perceptual feature may be important for discriminating images, useful for narrative imagery, and largely incidental during a rapid grammatical judgment. Treating all these cases as one mechanism obscures testable distinctions. Strong theories specify when simulation is expected, when it is functionally useful, and when the linguistic and contextual system can supply the needed inference through a different route. Lambon Ralph et al. (2017); Yee and Thompson-Schill (2016).
Abstract Language, Figurative Meaning, and Context
How can an abstract idea be grounded?
Concepts such as “justice,” “possibility,” and “obligation” depend on social learning, linguistic relations, affective experience, and patterns of action across situations. They may draw on bodily metaphors and familiar spatial schemas, but no single physical gesture can exhaust their meaning. A contextual account predicts that the weight of sensorimotor features will depend on the conceptual question and communicative purpose. Abstract concepts therefore provide a stringent test of any theory that tries to equate meaning with a particular motor image. Barsalou (2008); Meteyard et al. (2012).
Metaphor is not simply literal action in disguise
Understanding “carry responsibility” may recruit ideas of burden, persistence, or effort learned through physical experience, while interpreting the statement ultimately concerns a social or moral role. Researchers distinguish conventional metaphors from novel figurative constructions, idioms from literal sentences, and task-induced imagery from spontaneous comprehension. Neuroimaging meta-analyses of nonliteral action language show that motor-system involvement is context-dependent. The result cautions against assuming that literal and figurative uses of an action verb recruit identical neural representations. Yang and Shu (2016).
Why language and context still matter
Grammar specifies who did what to whom, discourse establishes what a pronoun refers to, and shared knowledge determines whether an expression is ironic, conventional, or newly invented. These computations interact with embodied knowledge but remain important explanatory targets in their own right. A theory that identifies the word “push” with a hand movement still needs to explain the differences among “push the door,” “push the deadline,” and “push your luck.” Lexical and contextual systems determine which experiential associations are relevant and which would be misleading. Yee and Thompson-Schill (2016).
Learning, Bilingualism, and Individual Differences
Experience and learning history
Different people have different histories of manipulating tools, playing instruments, observing actions, navigating environments, and discussing abstract ideas. Such experiences can alter the availability of relevant features and sometimes the efficiency of language tasks. Whether a particular experience changes ordinary comprehension must be established through comparison and intervention, with prior ability and familiarity controlled. The fact that an individual has little experience of a particular action does not imply inability to understand a description of it: explanations, analogies, social instruction, and linguistic context can supply substantial conceptual knowledge. Barsalou (2008); Yee and Thompson-Schill (2016).
First and second languages
A second-language learner can possess rich knowledge of an action while having less automatized access to the corresponding second-language phrase. Experimental priming may vary with proficiency, age of acquisition, frequency, idiom familiarity, or response difficulty. The 2024 study comparing Italian L1 and English L2 found related-action facilitation with different patterns across sentence types and languages. These results are informative about the interaction of language experience and cross-modal cues, but they do not establish that one language is intrinsically more embodied than another. Garello et al. (2024).
Developmental and sensory diversity
Children build word meanings through coordinated experience with objects, caregivers, observations, and language. Sensory and motor differences can change pathways to particular forms of knowledge, while alternative modalities and social learning provide additional means of building concepts. Research on embodied comprehension should use accessible tasks and measure the experience relevant to the stimulus, rather than treating deviation from one typical motor pattern as evidence of impaired language. A medical condition, a language disorder, a sensory difference, and a normal variation in imagery or proficiency must be evaluated as different constructs. Körner et al. (2023); Lambon Ralph et al. (2017).
Working memory, imagery, and variation in strategy
Some comprehension tasks require remembering sequences, simulating spatial changes, or comparing detailed visual properties. Participants may differ in working-memory capacity, spontaneous imagery, familiarity with instructions, and their choice of strategy. Selective motor interference in a working-memory task would provide potentially important evidence; a registered replication of an earlier selective interference finding failed to reproduce that pattern. The result speaks to one demanding memory procedure, and researchers must refrain from equating short-term maintenance of action verbs with language comprehension as a whole. Montero-Melis et al. (2022).
Gesture, Conversation, and Meaning in Action
Speech is often accompanied by pointing, representational hand gestures, gaze, visible objects, and shared activity. These cues can supplement linguistic content and help interlocutors align their attention and expectations. A speaker tracing a circular shape while describing a route may convey information that a sentence leaves underspecified. The effect of a gesture depends on its timing, relevance, conventional meaning, and the listener’s visual access. This is an important form of multimodal comprehension and may recruit embodied knowledge without requiring that all verbal meaning be translated into movement. Körner et al. (2023).
In signed languages, linguistic expression uses visible movement, spatial organization, and body articulation as conventional grammatical resources. The fact that signs use bodily action as a linguistic modality makes a productive distinction between perceiving the linguistic signal and mentally simulating the scene to which a sign refers. Treating these as the same mechanism would blur sign-language comprehension with optional event imagery. Models should explain how linguistic form, conventional grammar, perception, action, and conceptual understanding cooperate across modalities. Körner et al. (2023).
Reading, Teaching, and Applied Implications
An embodied perspective encourages educators to connect novel words and events with meaningful demonstrations, object interaction, diagrams, gesture, and contextual examples. The strongest pedagogical claim supported by this perspective is that varied experiences may create additional pathways into a concept and make learning richer. The effectiveness of any particular classroom method, however, depends on controlled studies of learning outcomes rather than a general appeal to brain embodiment. A gesture that helps explain a physical process may distract from a different task when poorly timed or irrelevant. Körner et al. (2023).
Comprehension of narratives and instructional text can benefit from tracking agents, objects, causal sequences, and spatial layouts. Asking learners to visualize a scene, manipulate a model, or enact a relevant action may be useful when those activities directly serve the learning goal. The design must consider accessibility, literacy level, memory demands, prior knowledge, and whether the gains transfer beyond the trained materials. A laboratory compatibility effect alone does not justify a clinical therapy or a universal reading intervention. Körner et al. (2023).
The scientific implications for speech-language pathology and neurorehabilitation are narrower than general language-learning advice. Intervention recommendations for aphasia, developmental language disorder, apraxia, dyslexia, or other diagnoses require condition-specific trials, assessment, and professional guidelines. Embodied comprehension research can suggest candidate mechanisms, but it is not itself a diagnostic test or established treatment protocol. Ordinary differences in imagination, gesture use, or motor priming are not clinical symptoms in isolation.
Implications for Computational Models and Artificial Language Systems
Text-based language models learn extensive statistical relationships across linguistic contexts. These relationships can contain indirect traces of the physical and social worlds because people describe actions, objects, perceptions, and intentions in text. Models trained with images, audio, video, or interaction histories incorporate additional input channels. Comparing computational systems with human language processing can clarify what distributional learning predicts and what direct sensorimotor grounding might add. The relevant scientific questions are specific: Which semantic generalizations transfer? Which tasks need action feedback? How does grounding change robustness in novel environments? Körner et al. (2023).
A system’s ability to describe grasping, identify an action from video, or produce fluent explanations is a behavioral result under a defined interface. It does not alone establish humanlike neural mechanisms, bodily histories, first-person imagery, or subjective experience. Similarly, the fact that human meaning often draws on lived perception does not imply that every instance of human comprehension requires a currently active sensory simulation. The distinction between task competence, representational architecture, environmental grounding, and subjective status keeps comparisons scientifically precise.
What a Stronger Research Program Would Test
Precise predictions for specific tasks
A meaningful causal hypothesis predicts which aspect of comprehension will deteriorate when a mechanism is perturbed, under which timing and stimulus conditions, and how the outcome differs from general distraction or motor slowing. Researchers should specify the cognitive stage of interest: accessing the action category, inferring event consequences, identifying grammatical roles, evaluating plausibility, or selecting an overt response. These stages can be dissociated experimentally instead of being grouped together under the broad label “understanding.” Solana and Santiago (2022).
Cross-task and cross-language generalization
A theory becomes stronger when its findings generalize to new materials, speaking and reading modalities, languages, populations, and experimental laboratories. It becomes more informative when it predicts the boundary conditions of an effect and explains null results without adding unlimited after-the-fact exceptions. Cross-linguistic comparisons can test the stability of grounded features across vocabulary and grammar, but require matched proficiency, frequency, concreteness, and cultural familiarity. Garello et al. (2024); Morey et al. (2022).
Converging measurements and transparent analysis
The most informative programs combine online language measures, brain activity, perturbation, learning interventions, and computational accounts. Studies must handle variability among both participants and linguistic items, publish null findings, predefine inferential choices, and distinguish confirmatory tests from exploration. A small response-time shift should be connected to a clearly specified representation; a neural overlap should be tested against alternative processing routes; and a training benefit should be measured with meaningful transfer outcomes. Winter et al. (2022); Solana and Santiago (2022).
Frequently Asked Questions
Does understanding an action word automatically activate the motor cortex?
Action-related words can be associated with motor and premotor activity, as shown by somatotopic imaging findings. Automatic activation in every linguistic context and its causal necessity are stronger claims that current evidence does not establish. Tasks, goals, contextual expectations, and measurement methods can alter the observed pattern. Hauk, Johnsrude, and Pulvermüller (2004)00838-9); Solana and Santiago (2022).
Is embodied language comprehension scientifically established?
The interaction of language with perception, action, and bodily experience is supported by substantial research. The necessity of specific sensorimotor simulations for all comprehension is contested. The scientific answer therefore depends on whether embodiment means measurable influence, functional contribution under certain conditions, or compulsory neural realization of meaning. Körner et al. (2023); Meteyard et al. (2012).
What does the failed ACE replication mean?
An 18-laboratory preregistered study found no reliable action-sentence compatibility effect in its tested paradigm. A later synthesis reported a small overall association with methodological moderators and publication bias. Together, they challenge the reliability and broad interpretability of that benchmark rather than ruling out every possible sensorimotor contribution to meaning. Morey et al. (2022); Winter et al. (2022).
Can we understand an action that we cannot perform?
People can learn about unfamiliar or physically inaccessible actions through descriptions, images, observations, explanations, and conceptual relations. Experience can enrich certain representations, while distributed semantic systems support generalization beyond an individual’s repertoire of movements. The ability to comprehend should not be identified with the ability to execute an action. Mahon and Caramazza (2008); Lambon Ralph et al. (2017).
Is metaphor comprehension a form of motor simulation?
Some figurative expressions interact with perceptual or motor cues, but results vary with familiarity, idiomaticity, concreteness, and task design. Interpreting abstract social and conceptual relations involves more than re-enacting a literal body movement. Current evidence favors examining forms of figurative language separately rather than imposing a single mechanism on all metaphors and idioms. Yang and Shu (2016); Garello et al. (2024).
Does embodied language theory prove that language determines thought?
No. It investigates the relationships among language processing, conceptual knowledge, and sensorimotor experience. Linguistic relativity asks how linguistic conventions shape aspects of cognition across languages; that is a connected but independently testable question. Evidence that action words activate a motor region does not establish strong linguistic determinism or a universal account of how language changes reasoning.
Does successful language generation by AI establish the same kind of understanding?
Successful language generation demonstrates performance on language tasks. Whether a particular artificial system uses representations comparable to human sensorimotor grounding is a separate empirical question requiring suitable behavioral, architectural, and intervention evidence. The status of subjective experience is another distinct inquiry. Fluent text alone settles neither issue.
Conclusion
Embodied language comprehension examines the ways words and sentences are connected with physical experience and the cognitive systems used to perceive and act in the world. Perceptual properties, action knowledge, and situated context can become active during comprehension and can influence measurable judgments. At the same time, well-controlled replication and causal studies show that particular motor-compatibility effects are fragile and that disrupting primary motor cortex does not reliably impair every tested form of action-language meaning. A productive account integrates flexible sensorimotor contributions with transmodal semantic knowledge, linguistic structure, executive control, learning history, and the requirements of the task. The major scientific question is the precise role of each process in a given comprehension event. Körner et al. (2023); Lambon Ralph et al. (2017); Solana et al. (2024).
Related Articles
Cluster Language, Thought and Psycholinguistics — The parent scientific chapter connecting the mechanisms and evidence of human language processing.
Language Processing in the Brain: Cognitive Networks and Neural Systems — Neural architecture and distributed language-processing systems.
Predictive Language Processing: How the Mind Anticipates Words — Contextual prediction as a distinct mechanism of comprehension.
Figurative Language Comprehension: Metaphors, Idioms, and Meaning — The interpretation of figurative expressions and their linguistic contexts.
Semantic Memory: Facts, Meaning, and Knowledge — Conceptual knowledge and memory, under its established canonical owner.
Psycholinguistic Research Methods: How Scientists Study Language Processing — Behavioral, neural, and computational methods for testing comprehension.
References
Barsalou, L. W. (2008). Grounded cognition. Annual Review of Psychology, 59, 617–645. https://doi.org/10.1146/annurev.psych.59.103006.093639.
Courson, M., and Tremblay, P. (2020). Neural correlates of manual action language: Comparative review, ALE meta-analysis and ROI meta-analysis. Neuroscience and Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2020.06.025.
Dupont, W., Madden-Lombardi, C., Perrone-Bertolotti, M., Palluel-Germain, R., and Lebon, F. (2025). The role of the motor system in action imagination and comprehension. Neuroscience and Biobehavioral Reviews, 178, 106392. https://doi.org/10.1016/j.neubiorev.2025.106392.
Garello, S., Ferroni, F., Gallese, V., Ardizzi, M., and Cuccio, V. (2024). The role of embodied cognition in action language comprehension in L1 and L2. Scientific Reports, 14, 12781. https://doi.org/10.1038/s41598-024-61891-w.
Glenberg, A. M., and Kaschak, M. P. (2002). Grounding language in action. Psychonomic Bulletin and Review, 9, 558–565. https://doi.org/10.3758/BF03196313.
Hauk, O., Johnsrude, I., and Pulvermüller, F. (2004). Somatotopic representation of action words in human motor and premotor cortex. Neuron, 41, 301–307. https://doi.org/10.1016/S0896-6273(03)00838-900838-9).
Körner, A., Castillo, M., Drijvers, L., Fischer, M. H., Günther, F., Marelli, M., Platonova, O., Rinaldi, L., Shaki, S., Trujillo, J. P., Tsaregorodtseva, O., and Glenberg, A. M. (2023). Embodied processing at six linguistic granularity levels: A consensus paper. Journal of Cognition, 6, 60. https://doi.org/10.5334/joc.231.
Lambon Ralph, M. A., Jefferies, E., Patterson, K., and Rogers, T. T. (2017). The neural and computational bases of semantic cognition. Nature Reviews Neuroscience, 18, 42–55. https://doi.org/10.1038/nrn.2016.150.
Mahon, B. Z., and Caramazza, A. (2008). A critical look at the embodied cognition hypothesis and a new proposal for grounding conceptual content. Journal of Physiology - Paris, 102, 59–70. https://doi.org/10.1016/j.jphysparis.2008.03.004.
Meteyard, L., Rodriguez Cuadrado, S., Bahrami, B., and Vigliocco, G. (2012). Coming of age: A review of embodiment and the neuroscience of semantics. Cortex, 48, 788–804. https://doi.org/10.1016/j.cortex.2010.11.002.
Montero-Melis, G., van Paridon, J., Ostarek, M., and Bylund, E. (2022). No evidence for embodiment: The motor system is not needed to keep action verbs in working memory. Cortex, 150, 108–125. https://doi.org/10.1016/j.cortex.2022.02.006.
Morey, R. D., Kaschak, M. P., Díez-Álamo, A. M., et al. (2022). A pre-registered, multi-lab non-replication of the action-sentence compatibility effect (ACE). Psychonomic Bulletin and Review, 29, 613–626. https://doi.org/10.3758/s13423-021-01927-8.
Papesh, M. H. (2015). Just out of reach: On the reliability of the action-sentence compatibility effect. Journal of Experimental Psychology: General. https://doi.org/10.1037/xge0000125.
Pulvermüller, F. (2013). Semantic embodiment, disembodiment or misembodiment? In search of meaning in modules and neuron circuits. Brain and Language, 127, 86–103. https://doi.org/10.1016/j.bandl.2013.05.015.
Solana, P., Escámez, O., Casasanto, D., Chica, A. B., and Santiago, J. (2024). No support for a causal role of primary motor cortex in construing meaning from language: An rTMS study. Neuropsychologia, 196, 108832. https://doi.org/10.1016/j.neuropsychologia.2024.108832.
Solana, P., and Santiago, J. (2022). Does the involvement of motor cortex in embodied language comprehension stand on solid ground? A p-curve analysis and test for excess significance of the TMS and tDCS evidence. Neuroscience and Biobehavioral Reviews, 141, 104834. https://doi.org/10.1016/j.neubiorev.2022.104834.
Teskey, M., Svendsen, K., Bub, D. N., and Masson, M. E. J. (2025). On the nature of action-sentence compatibility effects. Journal of Experimental Psychology: Learning, Memory, and Cognition, 51, 133–151. https://doi.org/10.1037/xlm0001327.
Winter, A., Dudschig, C., Miller, J., Ulrich, R., and Kaup, B. (2022). The action-sentence compatibility effect (ACE): Meta-analysis of a benchmark finding for embodiment. Acta Psychologica, 230, 103712. https://doi.org/10.1016/j.actpsy.2022.103712.
Yang, J., and Shu, H. (2016). Involvement of the motor system in comprehension of non-literal action language: A meta-analysis study. Brain Topography, 29, 94–107. https://doi.org/10.1007/s10548-015-0427-5.
Yee, E., and Thompson-Schill, S. L. (2016). Putting concepts into context. Psychonomic Bulletin and Review, 23, 1015–1027. https://doi.org/10.3758/s13423-015-0948-7.
Zwaan, R. A., Stanfield, R. A., and Yaxley, R. H. (2002). Language comprehenders mentally represent the shapes of objects. Psychological Science, 13, 168–171. https://doi.org/10.1111/1467-9280.00430.